| Machine learning at central banks C Chakraborty, A Joseph Staff Working Paper Series, 2017 | 271 | 2017 |
| Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach K Bluwstein, M Buckmann, A Joseph, S Kapadia, Ö Simsek Journal of International Economics, 2023 | 141 | 2023 |
| Parametric inference with universal function approximators A Joseph arXiv, 1903.04209, 2019 | 120* | 2019 |
| All you need is cash: Corporate cash holdings and investment after the financial crisis A Joseph, C Kneer, N Van Horen, J Saleheen CEPR Discussion Paper No. DP14199, 2022 | 64* | 2022 |
| Forecasting UK inflation bottom up GK Andreas Joseph, Galina Potjagailo, Eleni Kalamara Bank of England Staff Working Paper 915, 2021 | 39* | 2021 |
| OTC Microstructure in a Period of Stress: A Multi-layered Network Approach A Joseph, M Vasios Journal of Banking & Finance, 106400, 2022 | 37* | 2022 |
| Compendium on the diagnostic toolkit for competitiveness P Karadeloglou, K Benkovskis, G Aiello, B Bluhm, E Bobeica, C Buelens, ... | 35* | 2015 |
| Cross-border portfolio investment networks and indicators for financial crises A Joseph, S Joseph, G Chen Scientific Reports 4 (3991), 2014 | 34 | 2014 |
| An interpretable machine learning workflow with an application to economic forecasting M Buckmann, A Joseph, H Robertson Bank of England, 2022 | 27 | 2022 |
| Network centrality and key economic indicators: A case study A Joseph, G Chen Network Models in Economics and Finance, 159-180, 2014 | 27* | 2014 |
| Composite centrality: a natural scale for complex evolving networks AC Joseph, G Chen Physica D: Nonlinear Phenomena 267, 58-67, 2014 | 22 | 2014 |
| Deep reinforcement learning in a monetary model M Chen, A Joseph, M Kumhof, X Pan, X Zhou arXiv preprint arXiv:2104.09368, 2021 | 21 | 2021 |
| Complex Networks & Their Applications V: Proceedings of the 5th International Workshop on Complex Networks and Their Applications (COMPLEX NETWORKS 2016) H Cherifi, S Gaito, W Quattrociocchi, A Sala Springer, 2016 | 19 | 2016 |
| Netconomics: Novel Forecasting Techniques from the Combination of Big Data, Network Science and Economics A Joseph, I Vodenska, E Stanley, G Chen arXiv preprint arXiv:1403.0848, 2014 | 13 | 2014 |
| Machine learning at central banks (tech. rep.). Bank of England C Chakraborty, A Joseph Working Paper, 2017 | 12 | 2017 |
| Opening the black box: Machine learning interpretability and inference tools with an application to economic forecasting M Buckmann, A Joseph, H Robertson Data Science for Economics and Finance: Methodologies and Applications, 43-63, 2021 | 10 | 2021 |
| Degree-energy-based local random routing strategies for sensor networks F Yan, AKH Yeung, AC Joseph, G Chen Communications in Nonlinear Science and Numerical Simulation 20 (1), 250-262, 2015 | 9 | 2015 |
| Interactions between financial and environmental networks in OECD countries F Ruzzenenti, A Joseph, E Ticci, P Vozzella, G Gabbi PLoS One 10 (9), e0136767, 2015 | 7 | 2015 |
| Opening the machine learning black box A Joseph Bank Underground Blog, Bank of England, 2019 | 6 | 2019 |
| A framework for statistical inference on machine learning models A Joseph, S Regressions Working Paper, Bank of England, 2019 | 5 | 2019 |
Guanrong ChenCity University of Hong KongVerified email at cityu.edu.hk
